Remove Article Remove Business Analytics Remove Predictive Modeling
article thumbnail

Top 10 Analytics And Business Intelligence Trends For 2020

datapine

We detailed the benefits and costs of good or bad quality data in our previous article on data quality management , where you can read the five important pillars to follow. Share the essential business intelligence trends among your team! 4) Predictive And Prescriptive Analytics Tools. 7) Augmented Analytics.

article thumbnail

What Is The Difference Between Business Intelligence And Analytics?

datapine

There is not a clear line between business intelligence and analytics, but they are extremely connected and interlaced in their approach towards resolving business issues, providing insights on past and present data, and defining future decisions. Try our professional BI and analytics software for 14 days free!

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

6 Case Studies on The Benefits of Business Intelligence And Analytics

datapine

Experts say that BI and data analytics makes the decision-making process 5x times faster for businesses. Renowned author Bernard Marr wrote an insightful article about Shell’s journey to become a fully data-driven company. Experience the power of Business Intelligence with our 14-days free trial!

article thumbnail

What is SVM Classification Analysis and How Can It Benefit Business Analytics?

Smarten

This article provides a brief explanation of the SVM Classification method of analytics. the organization can predict the likelihood of an employee submitting fraudulent expenses. How Can SVM Classification Analysis Benefit Business Analytics? What is SVM Classification Analysis? Use Case – 1.

article thumbnail

What is ARIMAX Forecasting and How is it Used for Enterprise Analysis?

Smarten

This article looks at the ARIMAX Forecasting method of analysis and how it can be used for business analysis. An Autoregressive Integrated Moving Average with Explanatory Variable (ARIMAX) model can be viewed as a multiple regression model with one or more autoregressive (AR) terms and/or one or more moving average (MA) terms.

article thumbnail

What is ARIMA Forecasting and How Can it Be Used for Enterprise Analysis?

Smarten

This article provides a brief explanation of the ARIMA method of analytical forecasting. Autoregressive Integrated Moving Average (ARIMA) predicts future values of a time series using a linear combination of its past values and a series of errors. ’ The ARIMA model is suggested for short term forecasting.

article thumbnail

What is the Holt-Winters Forecasting Algorithm and How Can it be Used for Enterprise Analysis?

Smarten

This article provides a brief explanation of the Holt-Winters Forecasting model and its application in the business environment. Time series forecasting methods are used to extract and analyze data and statistics and characterize results to more accurately predict the future based on historical data.